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用于无标记生物传感的多分析物共振光子平台的设计。

Design of a multi-analyte resonant photonic platform for label-free biosensing.

机构信息

The Key Laboratory for Physical Electronics and Devices of the Ministry of Education and the Shaanxi Key Laboratory of Information Photonic Technique, School of Electronics and Information Engineering, Xi'an Jiaotong University Xi'an, People's Republic of China.

出版信息

Nanotechnology. 2019 Jul 5;30(27):275501. doi: 10.1088/1361-6528/ab0771. Epub 2019 Feb 15.

Abstract

We have designed a multi-analyte biosensing platform based on a hybrid whispering gallery mode resonator to detect protein biomarkers, e.g. those allowing the early diagnosis of Alzheimer's disease. Our proposed biosensor dependent on the hybrid mode naturally extends the capabilities of both plasmonic sensor and photonic sensor and thus performs better interrogation sensitivity. A multi-resonance of the hybrid mode could occur and the field intensity achieved its maximum value, thereby enabling a very strong light-matter interaction. The detection limit for bulk sensing reached a value of 2 × 10 RIU and that for surface sensing was at 0.6 pg mm. Our novel configuration has an advantage over the conventional plasmonic-waveguide resonator with a similar cavity size (Q-factor < 500) because a wide range of spectral measurements (56 nm) and a high Q-factor (1300) could be achieved simultaneously. Thus, large refractive index shifts in the medium could be detected with high sensitivity. This biosensor, with a footprint of 625 μm for each resonator, is a good candidate for integration into lab-on-chip microsystems for large-scale screening of a wide range of protein biomarkers in high risk of developing disease.

摘要

我们设计了一种基于混合回音壁模式谐振器的多分析物生物传感平台,用于检测蛋白质生物标志物,例如那些有助于阿尔茨海默病的早期诊断的标志物。我们提出的基于混合模式的生物传感器自然扩展了等离子体传感器和光子传感器的能力,因此具有更好的检测灵敏度。混合模式可能会发生多共振,并且场强达到最大值,从而实现非常强的光物质相互作用。体传感的检测限达到了 2×10 RIU,表面传感的检测限达到了 0.6 pg/mm。我们的新型配置优于具有相似腔尺寸(Q 因子<500)的传统等离子体波导谐振器,因为可以同时实现宽光谱测量(56nm)和高 Q 因子(1300)。因此,可以以高灵敏度检测介质中的大折射率变化。这种生物传感器的每个谐振器的占地面积为 625μm,是集成到微流控芯片微系统中的理想选择,可用于大规模筛选处于疾病高发风险的多种蛋白质生物标志物。

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